Topic: "neural-compression"
jmtomczak/intro_dgm
"Deep Generative Modeling": Introductory Examples
Language: Jupyter Notebook - Size: 7.57 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 1,147 - Forks: 184
facebookresearch/NeuralCompression
A collection of tools for neural compression enthusiasts.
Language: Python - Size: 2.22 MB - Last synced at: 2 days ago - Pushed at: 8 months ago - Stars: 550 - Forks: 46
Xinjie-Q/Awesome-Neural-Compression
Curated list of papers and resources focused on neural compression, intended to keep pace with the anticipated surge of research in the recent years.
Size: 559 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 54 - Forks: 7
smsharma/minified-generative-models
Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc
Language: Jupyter Notebook - Size: 12 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 37 - Forks: 5
mandt-lab/shallow-ntc
Official code for "Computationally-Efficient Neural Image Compression with Shallow Decoders", ICCV 2023
Language: Jupyter Notebook - Size: 945 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 0
aahouzi/llama2-chatbot-cpu
A LLaMA2-7b chatbot with memory running on CPU, and optimized using smooth quantization, 4-bit quantization or Intel® Extension For PyTorch with bfloat16.
Language: Python - Size: 30.3 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 0
mdhabibi/Neural-Compression-with-Autoencoders
Exploring advanced autoencoder architectures for efficient data compression on EMNIST dataset, focusing on high-fidelity image reconstruction with minimal information loss. This project tests various encoder-decoder configurations to optimize performance metrics like MSE, SSIM, and PSNR, aiming to achieve near-lossless data compression.
Language: Jupyter Notebook - Size: 43.6 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0
akshay-rajan/DeepVideoCompression
Video compression using Neural Networks. Deep Video Compression model trained using Vimeo 90K Dataset.
Language: Jupyter Notebook - Size: 18 MB - Last synced at: 11 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0
neerajas-group/walloc
Wavelet Learned Lossy Compression
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
jack-willturner/naswot
An unofficial replication of NAS Without Training.
Language: Python - Size: 187 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
