varungodbole's Stars
tensorflow/models
Models and examples built with TensorFlow
ggerganov/llama.cpp
LLM inference in C/C++
google-research/google-research
Google Research
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
karpathy/convnetjs
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
google-research/vision_transformer
google/sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
openlm-research/open_llama
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
euske/pdfminer
Python PDF Parser (Not actively maintained). Check out pdfminer.six.
google-gemini/cookbook
Examples and guides for using the Gemini API
google-research/simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
google-research/scenic
Scenic: A Jax Library for Computer Vision Research and Beyond
google-research/t5x
openai/human-eval
Code for the paper "Evaluating Large Language Models Trained on Code"
google/vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
openyou/emokit
Open source driver for accessing raw data from the Emotiv EPOC EEG headset
tbuser/thingiview.js
Javascript 3D Model Viewer
daeken/Emokit
Python library for the Emotiv EPOC headset
google/init2winit
itsachen/EmoRecord
Java program and GUI for recording emotional data gathered from the Emotiv EPOC brain control interface headset
bpd1069/Emokit
Python library for the Emotiv EPOC headset
psachin/linuxgems
A succinct cheat sheet for newbie linux coders and system administrators, documenting some of the more obscure and useful gems of linux lore. Intended to be viewed in emacs org-mode, or VimOrganizer, though any text editor will suffice.