Owaiskhan9654/web-wav-converter Fork of AlexIII/web-wav-converter

MP3 to WAV audio converter (web app)

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Owaiskhan9654/SSLHavenCorner Fork of Varchita-Beena/SSLHavenCorner

Comprehensive coverage of self-supervised learning in both computer vision and natural language processing domains. This entails detailed explanations of models, (sometimes with code snippets), discussions on various loss functions, and insights into the underlying mechanisms.

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Owaiskhan9654/self-rag Fork of AkariAsai/self-rag

This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

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Owaiskhan9654/support Fork of ng2react/support

Library of helper utils for AngularJS to React migration

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Owaiskhan9654/portfolio-v2 Fork of shruti222patel/portfolio-v2

Portfolio sit that lists projects

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Owaiskhan9654/qlstm Fork of rdisipio/qlstm

Example of a Quantum LSTM

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Owaiskhan9654/sherlock Fork of sherlock-project/sherlock

🔎 Hunt down social media accounts by username across social networks

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Owaiskhan9654/pyAudioAnalysis Fork of tyiannak/pyAudioAnalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

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Owaiskhan9654/primeqa Fork of primeqa/primeqa

The prime repository for state-of-the-art Multilingual Question Answering research and development.

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Owaiskhan9654/langchain Fork of langchain-ai/langchain

⚡ Building applications with LLMs through composability ⚡

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Owaiskhan9654/itz-support-public Fork of IBM/itz-support-public

A public Repository for Runbooks and Documentation for DTE Content on the IBM Technology Zone. Available to Business Partners and IBMers looking for self service support. Current Runbooks provide support the the IBM Technology Zone website, Skytap, ROKS, and Common Control Plane based Demos.

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Owaiskhan9654/FLAML Fork of thinkall/FLAML

A fast library for AutoML and tuning.

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Owaiskhan9654/GPTs Fork of linexjlin/GPTs

leaked prompts of GPTs

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Owaiskhan9654/gpt4all Fork of nomic-ai/gpt4all

gpt4all: open-source LLM chatbots that you can run anywhere

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Owaiskhan9654/generating-encrypted-network Fork of andreysfc/generating-encrypted-network

Script from the paper generating encrypted network. Dataset

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Owaiskhan9654/elasticsearch-test-elser Fork of bvader/elasticsearch-test-elser

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Owaiskhan9654/FlaskGPT Fork of BBurgarella/FlaskGPT

This is a simple Flask application that allows anyone to use the OpenAI ChatGPT API with a Graphical User Interface (GUI) built with PyWebview. This app uses SQLite to store user login credentials.

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Owaiskhan9654/embedchain Fork of embedchain/embedchain

Framework to easily create LLM powered bots over any dataset.

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Owaiskhan9654/dsce-sample-apps Fork of IBM/dsce-sample-apps

Sample applications that use IBM embeddable AI libraries and linked from https://dsce.ibm.com

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Owaiskhan9654/cognitive-services-speech-sdk-js Fork of microsoft/cognitive-services-speech-sdk-js

Microsoft Azure Cognitive Services Speech SDK for JavaScript

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Owaiskhan9654/CnOCR Fork of breezedeus/CnOCR

CnOCR: Awesome Chinese/English OCR toolkits based on PyTorch/MXNet, It comes with 20+ well-trained models for different application scenarios and can be used directly after installation. 【基于 PyTorch/MXNet 的中文/英文 OCR Python 包。】

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Owaiskhan9654/CODA-Prompt Fork of GT-RIPL/CODA-Prompt

PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"

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Owaiskhan9654/Azure_Functions_Code Fork of Kvanshika/Azure_Functions_Code

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Owaiskhan9654/azure-sdk-for-python Fork of Azure/azure-sdk-for-python

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.

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Owaiskhan9654/Awesome-LLMOps Fork of tensorchord/Awesome-LLMOps

An awesome & curated list of best LLMOps tools for developers

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Owaiskhan9654/Gene-Sequence-Primer-

Gene and Primer Sequence Analysis for SARS-CoV-2, EGFR(Non Small Lung Cancer Cell), Influenza DNAs ### How can I check my Oligo primers to ensure there are no significant primer design issues? - The difference between melting temperatures (Tm) of the primers should be less than 5°C. - The GC content should be between 35-80% or equivalent to the product being amplified. - The Delta G value of any self-dimers, hairpins, and heterodimers should be weaker (more positive) than -9.0 kcal/mole. Positive numbers indicate that the actual secondary structure shown will not form at all. - Avoid 3' complementarity between the two primers to prevent primer dimers. The IDT OligoAnalyzer APIs can be used to assess these different criteria for a proposed oligo. #### [Reference](https://sg.idtdna.com/pages/support/faqs/how-can-i-check-my-pcr-primers-using-the-oligoanalyzer-program-to-ensure-there-are-no-significant-primer-design-issues-)

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Owaiskhan9654/torchserve-embedder-encoder Fork of alexgseymour/torchserve-embedder-encoder

Embeddings Microservice for use in various projects

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Owaiskhan9654/FlashRank Fork of PrithivirajDamodaran/FlashRank

Ultra-lite & Super-fast SoTA cross-encoder based re-ranking for your search & retrieval pipelines. Created by Prithivi Da, open for PRs & Collaborations.

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Owaiskhan9654/monday-cli-ibm Fork of trix-solutions/moncli

A Python Client for Monday.com

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Owaiskhan9654/Autogen-Kaggle

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Owaiskhan9654/h2o-llmstudio Fork of h2oai/h2o-llmstudio

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/

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Owaiskhan9654/Multi-Label-Classification-of-Pubmed-Articles

The traditional machine learning models give a lot of pain when we do not have sufficient labeled data for the specific task or domain we care about to train a reliable model. Transfer learning allows us to deal with these scenarios by leveraging the already existing labeled data of some related task or domain. We try to store this knowledge gained in solving the source task in the source domain and apply it to our problem of interest. In this work, I have utilized Transfer Learning utilizing BertForSequenceClassification model. Also tried RobertaForSequenceClassification and XLNetForSequenceClassification models for Fine-Tuning the Model.

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Owaiskhan9654/Team-PYPI-Blue-sky-challenge-HackerEarth-Hackathon-

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Owaiskhan9654/Statistical-Inference-Multivariate-Techniques-Python-Implementation

Python Implementation

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Owaiskhan9654/autogen Fork of microsoft/autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

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Owaiskhan9654/owaiskhan9654

This repo contains my achievements and tracks my progress and contributions to open source community

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Owaiskhan9654/Yolo-V7-Custom-Dataset-Train-on-Kaggle

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Owaiskhan9654/E2EDNA2 Fork of siminegroup/E2EDNA2

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Owaiskhan9654/transformers-interpret Fork of cdpierse/transformers-interpret

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

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Owaiskhan9654/test_test

Language: Python - Size: 19.5 MB - Last synced: 12 days ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

Owaiskhan9654/alphafold Fork of google-deepmind/alphafold

Open source code for AlphaFold.

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Owaiskhan9654/ZeroShot-News-Corpus-Labelling

Size: 40 KB - Last synced: 12 days ago - Pushed: almost 1 year ago - Stars: 0 - Forks: 0

Owaiskhan9654/FasterTransformer Fork of NVIDIA/FasterTransformer

Transformer related optimization, including BERT, GPT

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Owaiskhan9654/Web-Scraping-from-Used-Car-website-in-UAE-Region

Here I am Scraping data from https://www.drivearabia.com/ and this code is in sync with the website currently (FEB 2023).

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Owaiskhan9654/1st-Place-Solution-in-Google-Universal-Image-Embedding Fork of ShihaoShao-GH/1st-Place-Solution-in-Google-Universal-Image-Embedding

1st Place Solution in Google Universal Image Embedding

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Owaiskhan9654/Search-using-Corpus-embeddings-Generated-from-Sentence-Transformers-and-BM25-Gene-Score-BRAF-V600E

Language: Jupyter Notebook - Size: 797 KB - Last synced: 12 days ago - Pushed: about 1 year ago - Stars: 2 - Forks: 0

Owaiskhan9654/manim Fork of 3b1b/manim

Animation engine for explanatory math videos

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Owaiskhan9654/AttentionXML Fork of yourh/AttentionXML

Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"

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Owaiskhan9654/scenic Fork of google-research/scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

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Owaiskhan9654/ColossalAI Fork of hpcaitech/ColossalAI

Making large AI models cheaper, faster and more accessible

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Owaiskhan9654/selenium-ide Fork of SeleniumHQ/selenium-ide

Open Source record and playback test automation for the web.

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Owaiskhan9654/test222

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Owaiskhan9654/awesome-yolo-object-detection Fork of codingonion/awesome-yolo-object-detection

🔥🔥🔥 A collection of some awesome public YOLO object detection series projects.

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Owaiskhan9654/subject_verb_object_extract

Language: Python - Size: 3.91 KB - Last synced: 12 days ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

Owaiskhan9654/Quora-Question-Pairs-Similarity Fork of MMuttalib1326/Quora-Question-Pairs-Similarity

Quora Question Pairs Similarity Problem,In this Project i have dealing with the task of pairing up the duplicate questions from quora. More formally, the followings are our problem statements Identify

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Owaiskhan9654/BioGPT Fork of microsoft/BioGPT

Language: Python - Size: 30 MB - Last synced: 12 days ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

Owaiskhan9654/developerFolio Fork of NAIF4601/developerFolio

🚀 Software Developer Portfolio Template that helps you showcase your work and skills as a software developer.

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Owaiskhan9654/Text-Detection-using-Yolo-Algorithm-in-keras-tensorflow Fork of Neerajj9/Text-Detection-using-Yolo-Algorithm-in-keras-tensorflow

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

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Owaiskhan9654/PigeonXT-Custom-Satellite-images-labelling

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Owaiskhan9654/Utilizing-BioBERT-for-PICO-Evidence-Summarization

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Owaiskhan9654/test_test123

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Owaiskhan9654/Sony-R.I.S.E-India-Hackathon-3rd-Place-Solution

Recent Sony RISE Research Team India organized and this is my Solution in which I secured 3rd Position. Recommender systems are among the most popular applications of data science today. They are used to predict the "rating" or "preference" that a user would give to an item. In this Challenge I have computed and extracted several Features in order to Build this Hybrid Collaborative Recommender System

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Owaiskhan9654/timm-flutter-pytorch-lite-blogpost Fork of dnth/timm-flutter-pytorch-lite-blogpost

PyTorch at the Edge: Deploying Over 964 TIMM Models on Android with TorchScript and Flutter.

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Owaiskhan9654/automl Fork of google/automl

Google Brain AutoML

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Owaiskhan9654/minhaj-313 Fork of minhaj-313/minhaj-313

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Owaiskhan9654/Hierarchical-Multi-Label-Text-Classification Fork of RandolphVI/Hierarchical-Multi-Label-Text-Classification

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

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Owaiskhan9654/test_blog

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Owaiskhan9654/test-Hugo

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Owaiskhan9654/mkdocs-material Fork of squidfunk/mkdocs-material

Documentation that simply works

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Owaiskhan9654/progen Fork of salesforce/progen

Official release of the ProGen models

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Owaiskhan9654/yolov7-1 Fork of WongKinYiu/yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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Owaiskhan9654/Tensorflow-examples Fork of tensorflow/examples

TensorFlow examples

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Owaiskhan9654/notebooks-1 Fork of roboflow/notebooks

Set of Jupyter Notebooks linked to Roboflow Blogpost and used in our YouTube videos.

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Owaiskhan9654/DeepSpeed Fork of microsoft/DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.1

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Owaiskhan9654/detr Fork of facebookresearch/detr

End-to-End Object Detection with Transformers

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Owaiskhan9654/grocerydataset Fork of gulvarol/grocerydataset

Toward Retail Product Recognition on Grocery Shelves, 2014

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Owaiskhan9654/tests

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Owaiskhan9654/blog Fork of Muhtasham/blog

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Owaiskhan9654/HumanActionRecognition_with_ErgonomicRisk Fork of BehnooshParsa/HumanActionRecognition_with_ErgonomicRisk

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Owaiskhan9654/Dropout-in-Neural-Networks

Deep NNs with large number of parameters are powerful machine learning systems. But overfitting is a serious problem in these networks. These NNs are slow to use, making difficulties to deal with overfitting by combining the predictions of different large NNs at testing time. Dropout could be a technique to manage these problems.

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Owaiskhan9654/Principle-Component-Analysis

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Owaiskhan9654/Testing-Singular-Value-Decomposition-SVD

I have taken 2X2 Matrix and tried to implement it explicitly without Linalg.SVD Library. Results are not Exactly same when compared with using Linalg.SVD Library Because of some error.

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Owaiskhan9654/Python-for-Signal-Processing Fork of unpingco/Python-for-Signal-Processing

Notebooks for "Python for Signal Processing" book

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Owaiskhan9654/fastdvdnet Fork of pablodz/fastdvdnet

FastDVDnet + Docker + Jupyter Notebook + Colab

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Owaiskhan9654/Natural-Language-Processing-BASICS-

This code is to understand basics concept of NLP .

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Owaiskhan9654/SMS_SPAM_CLASSIFIER

I have used techniques from NLTK Library and implemented them in this Spam classifier

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Owaiskhan9654/word2vec

word2vec is a pretrained model which helps in word embedding.word2vec model contains 2 methods mainly i.e continuous Bag of Word and SkipGram models

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Owaiskhan9654/COVID19_VISUALIZATION

This is a visualization of spread of Corona Virus Till 21st may using Pyplot Lib. I have use DataSet from Kaggle . If you want to future data please download it from Kaggle

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Owaiskhan9654/Movies-Product-and-Restaurants-Reviews-implementing-BAG-of-Word-Model

In this code I am going to use Movie Reviews text,Amazon Reviews and Restaurants reviews. and I am going to implement bag of word model and develop a model that will help in predicting weather a review is good or bad.

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Owaiskhan9654/MACH Fork of owaiskhan96/MACH

Extreme Classification in Log Memory via Count-Min Sketch

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Owaiskhan9654/Keras-Group-Normalization Fork of titu1994/Keras-Group-Normalization

A Keras implementation of https://arxiv.org/abs/1803.08494

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Owaiskhan9654/BERT-FINE-TUNING

BERT, stands for Bidirectional Encoder Representations from Transformers, is a Neural Network based technique for Natural Language processing pretraining .The breakthrough of BERT is in its ability to train language models based on the entire set of words in a sentence or query (bidirectional training) rather than the traditional way of training on the ordered sequence of words (left to right or combined left to right and right to left). BERT allows the language model to learn word context based on surrounding words rather than just the word that immediately precedes or follows it.

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Owaiskhan9654/X-Transformer Fork of OctoberChang/X-Transformer

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

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Owaiskhan9654/vtest

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Owaiskhan9654/SSD-Tensorflow2.0 Fork of TanyaChutani/SSD-Tensorflow2.0

A Tensorflow2.0 implementation of Single Shot Detector

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Owaiskhan9654/vector_engine Fork of kstathou/vector_engine

Build a semantic search engine with Transformers and Faiss

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Owaiskhan9654/Discrete-Time-Markov-chains-on-Genotype-Evolution

"The System only remembers its history from previous unit of time". I have tried to implement Genotype Evolution Model in python. I have taken the Genotype probability Matrix from the book Modeling and Analysis of Stochastic Systems by V.G Kulkarni .Example 2.14 on page 24.

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Owaiskhan9654/ML_DL-Tutorials Fork of AmrKhalifa/ML_DL-Tutorials

Supplementary Machine Learning and Deep Learning tutorial sessions with code to AMMI program 2019-2020 cohort.

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Owaiskhan9654/natural-language-processing Fork of ruthussanketh/natural-language-processing

Codes, datasets, and explanations for some basic natural language tasks and models.

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Owaiskhan9654/Owaiskhan96

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