charismaticchiu
CS PhD student at USC. Particularly interested in ML Robustness, Safety, and Efficiency.
University of Southern CaliforniaLos Angeles
charismaticchiu's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
ZuzooVn/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
terryum/awesome-deep-learning-papers
The most cited deep learning papers
microsoft/JARVIS
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
apache/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
mission-peace/interview
Interview questions
microsoft/nlp-recipes
Natural Language Processing Best Practices & Examples
rmcelreath/stat_rethinking_2022
Statistical Rethinking course winter 2022
NervanaSystems/neon
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
dair-ai/ML-Notebooks
:fire: Machine Learning Notebooks
bethgelab/foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
tqchen/tinyflow
Tutorial code on how to build your own Deep Learning System in 2k Lines
dmlc/nnvm
CalculatedContent/WeightWatcher
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
safe-graph/graph-adversarial-learning-literature
A curated list of adversarial attacks and defenses papers on graph-structured data.
Atcold/torch-Video-Tutorials
Light your way in Deep Learning with Torch 🔦
kentaroy47/vision-transformers-cifar10
Let's train vision transformers (ViT) for cifar 10!
Ghadjeres/DeepBach
code accompanying "DeepBach: a Steerable Model for Bach Chorales Generation" paper
DataForScience/Causality
xdite/memory-hack
打造超人大脑
elyall/wandb_on_slurm
Example of how to use Weights & Biases on Slurm
charismaticchiu/TF-fileTypeDetection
TensorFlow trained Byte Histograms for Better MIME Detection