qAp's Stars
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
guidance-ai/guidance
A guidance language for controlling large language models.
ivy-llc/ivy
Convert Machine Learning Code Between Frameworks
karpathy/nn-zero-to-hero
Neural Networks: Zero to Hero
h2oai/h2ogpt
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
facebookresearch/hydra
Hydra is a framework for elegantly configuring complex applications
iptv-org/awesome-iptv
A curated list of resources related to IPTV
jessevig/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
MIC-DKFZ/nnUNet
marcel-dempers/docker-development-youtube-series
google/gemma_pytorch
The official PyTorch implementation of Google's Gemma models
XuehaiPan/nvitop
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
rapidsai/cuml
cuML - RAPIDS Machine Learning Library
karpathy/makemore
An autoregressive character-level language model for making more things
zju3dv/LoFTR
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
mcinglis/c-style
My favorite C programming practices.
devcontainers/images
Repository for pre-built dev container images published under mcr.microsoft.com/devcontainers
automl/TabPFN
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
optuna/optuna-examples
Examples for https://github.com/optuna/optuna
google-research/prompt-tuning
Original Implementation of Prompt Tuning from Lester, et al, 2021
fastai/diffusion-nbs
Getting started with diffusion
ServiceNow/N-BEATS
N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.
SanDiegoMachineLearning/bookclub
Notes and links from the book club meetings
ThomasBury/arfs
All Relevant Feature Selection
tubo213/kaggle-child-mind-institute-detect-sleep-states
ffs333/2nd_place_GISLR
2nd Place Google - Isolated Sign Language Recognition
analokmaus/kaggle-g2net-public
2nd place solution
TheoViel/kaggle_islr
6th Place Solution for the Google - Isolated Sign Language Recognition Kaggle Competition