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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
You like pytorch? You like micrograd? You love tinygrad! ❤️
Graph Neural Network Library for PyTorch
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
CTF framework and exploit development library
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Tensor…
Source code for Twitter's Recommendation Algorithm
Implementation of Graph Convolutional Networks in TensorFlow
This tool lets you search your gadgets on your binaries to facilitate your ROP exploitation. ROPgadget supports ELF, PE and Mach-O format on x86, x64, ARM, ARM64, PowerPC, SPARC, MIPS, RISC-V 64, a…
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Training and serving large-scale neural networks with auto parallelization.
Python3 library providing an easy interface to the Bitcoin data structures and protocol.
Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.
cuTile is a programming model for writing parallel kernels for NVIDIA GPUs
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
[ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
A general and accurate MACs / FLOPs profiler for PyTorch models
ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.