Jeevesh Juneja's starred repositories
deep-learning-dynamics-paper-list
This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.
python-fire
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
EAI-Math-Reading-Group
Resources from the EleutherAI Math Reading Group
Awesome-Dialogue-State-Tracking
Dialogue State Tracking (DST) Papers, Datasets, Resources 🤩
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
PaddleSpeech
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
arg_mining
Code for Argument Mining (ACI, RTP) on various datasets with selective-MLM strategy and variants.
deep-learning-with-swift-for-tensorflow-book
Official source code for "Deep Learning with Swift for TensorFlow" đź“–
awesome-crypto-papers
A curated list of cryptography papers, articles, tutorials and howtos.
pyan
pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks - for example: https://pycallgraph.readthedocs.org/ This code was originally written by Edmund Horner, and then modified by Juha Jeronen. See README for the original blog posts and links to their repositories.
tensor_annotations
Annotating tensor shapes using Python types
mesh-transformer-jax
Model parallel transformers in JAX and Haiku
ml-system-design-pattern
System design patterns for machine learning
deep-vector-quantization
VQVAEs, GumbelSoftmaxes and friends
SpeechSplit
Unsupervised Speech Decomposition Via Triple Information Bottleneck