aspiringastro/Auto-GPT Fork of Significant-Gravitas/Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

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aspiringastro/langchain101

Just a quick guide on langchain - test driving the langchain capabilities

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aspiringastro/whisper.cpp Fork of ggerganov/whisper.cpp

Port of OpenAI's Whisper model in C/C++

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aspiringastro/einops-tutorial

Learning einops

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aspiringastro/musiclm-pytorch Fork of lucidrains/musiclm-pytorch

Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch

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aspiringastro/audiolm-pytorch Fork of lucidrains/audiolm-pytorch

Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch

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aspiringastro/x-transformers Fork of lucidrains/x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers

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aspiringastro/vit-pytorch Fork of lucidrains/vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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aspiringastro/GloVe Fork of stanfordnlp/GloVe

GloVe model for distributed word representation

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aspiringastro/cs224n

CS224N: Natural Language Processing with Deep Learning Stanford / Winter 2023

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aspiringastro/Open-Assistant Fork of LAION-AI/Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

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aspiringastro/vit-step-by-step

Step-by-Step method to learn vision transformers from the paper: "AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE" ICLR 2021

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aspiringastro/xformers Fork of facebookresearch/xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

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aspiringastro/Transformer-Explainability Fork of hila-chefer/Transformer-Explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

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aspiringastro/hlb-CIFAR10 Fork of tysam-code/hlb-CIFAR10

Train to 94% on CIFAR-10 in less than 10 seconds on a single A100, the current world record. Or ~95.77% in ~188 seconds.

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aspiringastro/wandbviz

Weights and Bias Visualizer for Neural Networks

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aspiringastro/gpt-zero-to-hero

Homage to the "Let's build GPT : from scratch, in code and spelled out" from @karpathy

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aspiringastro/transformer-notebooks Fork of nlp-with-transformers/notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

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aspiringastro/unpackTNN

Unpacking Transformers - Approach to understanding the different concepts in transformers and internalizing how they interact and produce

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aspiringastro/bpe-tokenizer

Simple Byte-Pair encoding implementation to learn tokenization from the ground up

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aspiringastro/SciScript-Python Fork of sciserver/SciScript-Python

Python libraries for SciScript, Jupyter Notebooks

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aspiringastro/gaia-explorer

Explore Gaia dataset with Astropy and learn ML models as a side benefit

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aspiringastro/mamba-env

Manage MambaForge environments

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aspiringastro/sdss-classifier

sdss-classifier: A beginner in astronomy's attempt to understand and classify the SDSS (Sloan Digital Sky Survey) results and building a classifier to differentiate different astronomical objects

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aspiringastro/nbaction

Github custom action to enable automatic notebook to HTML publish

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aspiringastro/cramming Fork of JonasGeiping/cramming

Cramming the training of a (BERT-type) language model into limited compute.

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aspiringastro/random-notebooks

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aspiringastro/fastText Fork of facebookresearch/fastText

Library for fast text representation and classification.

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aspiringastro/reviews-classifier

Amazon customer reviews classifier

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aspiringastro/RobustViT Fork of hila-chefer/RobustViT

[NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows to finetune the explainability maps of Vision Transformers to enhance robustness.

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aspiringastro/aspiringastro

Config files for my GitHub profile.

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aspiringastro/fastai Fork of fastai/fastai

The fastai deep learning library

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aspiringastro/DLwithTorch

Deep Learning with PyTorch - Book Eli Stevens, Luca Anting and Thomas Viehmann

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aspiringastro/ImageCaptioning.pytorch Fork of ruotianluo/ImageCaptioning.pytorch

A pretrained network that describes scenes Andrej Karpathy and Li Fei-Fei, “Deep Visual-Semantic Alignments for Generating Image Descriptions,”

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aspiringastro/nlp-torch

Learn NLP and Deep Learning with PyTorch

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aspiringastro/practical_deep_learning

Practical Deep Learning for Coders

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aspiringastro/fastcore Fork of fastai/fastcore

Python supercharged for the fastai library

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aspiringastro/anlp-cmu

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aspiringastro/makemore-karpathy Fork of karpathy/makemore

An autoregressive character-level language model for making more things

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aspiringastro/makemore

Makemore - makes more of things that's given as input - inspired by @Karpathy

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aspiringastro/cs231n-python

Python basics and NumPy learning as part of Convolutional Neural Network (CNN) approach for computer vision in CS213n

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aspiringastro/micrograd

Learning Backpropagation one step at a time (with inspiration from @karpathy)

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