MannyKayy

adversarialGAN

Adversarial Learning of Robust and Safe Controllers for Cyber-Physical Systems

PlayableVideoGeneration

Official Pytorch implementation of "Playable Video Generation"

pytorch-pfn-extras

Supplementary components to accelerate research and development in PyTorch

tape

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

Ultra-Data-Efficient-GAN-Training

[Preprint] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang

bookcorpus

Crawl BookCorpus

chatgpt-chrome-extension

A ChatGPT Chrome extension. Integrates ChatGPT into every text box on the internet.

cudipy

cupy-accelerated

cupyimg

CuPy implementations of image and signal processing functions from NumPy, SciPy and scikit-image

differentiable-robot-model

We are implementing differentiable models of robot manipulators, which allows us to learn typically assumed to be known models of robots for control and motion planning. These models can then be used in more complex reinforcement learning settings, hopefully making learning more sample-efficient. Furthermore, such differentiable models can also be used for learning simulators.

fast-transformers

Pytorch library for fast transformer implementations

FlexFlow

A distributed deep learning framework.

GON

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

google-research

Google Research

gpt_index

An index created by GPT to organize external information and answer queries!

LST

PyTorch Implementation for Locality Sensitive Teaching

OpenBB

Investment Research for Everyone, Everywhere.

PerceptualSimilarity

petals

🌸 Run 100B+ language models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Real-Time-Voice-Cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

rwkv-cpp-cuda

A torchless, c++ rwkv implementation using 8bit quantization, written in cuda

RWKV-LM

RWKV is a RNN with transformer-level performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

rwkv.cpp

INT4 and FP16 inference on CPU for RWKV language model

SAM

Self-attentive Associative Memory & SAM-based Two-Memory Model

sputnik

A library of GPU kernels for sparse matrix operations.

torchph

The essence of my research, distilled for reusability. Enjoy 🥃!

vdvae

Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"

wann-gradient-based

Gradient-Descent based search for Weight-Agnostic Neural Networks

whisper

xtreme-distil-transformers

XtremeDistil framework for distilling/compressing massive multilingual neural network models to tiny and efficient models for AI at scale