pieris98's Stars
NVIDIA/open-gpu-kernel-modules
NVIDIA Linux open GPU kernel module source
unslothai/unsloth
Finetune Llama 3.3, DeepSeek-R1, Gemma 3 & Reasoning LLMs 2x faster with 70% less memory! 🦥
Lightning-AI/lightning-thunder
Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.
karpathy/LLM101n
LLM101n: Let's build a Storyteller
pytorch/torchtune
PyTorch native post-training library
roboflow/inference
Turn any computer or edge device into a command center for your computer vision projects.
tinygrad/tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️
SegmentMeIfYouCan/road-anomaly-benchmark
Benchmark of detection methods for anomalies and obstacles in traffic images.
WithSecureLabs/damn-vulnerable-llm-agent
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
GFNOrg/torchgfn
A modular, easy to extend GFlowNet library
alievk/npbg
Neural Point-Based Graphics
LiheYoung/Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
udlbook/udlbook
Understanding Deep Learning - Simon J.D. Prince
yiqun-wang/LPS-matlab
Generating Local Point Signature for "A Robust Local Spectral Descriptor for Matching Non-Rigid Shapes with Incompatible Shape Structures"
FreeFem/FreeFem-doc
FreeFEM user documentation
IST-DASLab/gptq
Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
r-three/t-few
Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"
chain-ml/council
Council is an open-source platform for the rapid development and robust deployment of customized generative AI applications
karpathy/ng-video-lecture
tomgoldstein/loss-landscape
Code for visualizing the loss landscape of neural nets
cybertronai/gradient-checkpointing
Make huge neural nets fit in memory
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
e3nn/e3nn-jax
jax library for E3 Equivariant Neural Networks
DongqiFu/DPPIN
DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022
romland/llemmings
Llemmings is a game being written by LLMs. Only. Humans copy and paste code.
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
wenhao-gao/mol_opt
NVIDIA-AI-IOT/nvidia-tao
NVIDIA-AI-IOT/TAO-Toolkit-Whitepaper-use-cases
TAO best practices. How to adapt for a new domain, new classes, and generalize the model with a small dataset using Nvidia's TAO toolkit