atharva-tendle
AI @Bloomberg M.S.c in CS and B.S.c in CS and Economics University of Nebraska-Lincoln.
Bloomberg L.P.New York City
atharva-tendle's Stars
Textualize/rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
mingrammer/diagrams
:art: Diagram as Code for prototyping cloud system architectures
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
ddbourgin/numpy-ml
Machine learning, in numpy
hoffstadt/DearPyGui
Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
huggingface/smol-course
A course on aligning smol models.
microsoft/hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
facebookresearch/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
dangkhoasdc/awesome-ai-residency
List of AI Residency Programs
jettify/pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
onelivesleft/PrettyErrors
Prettify Python exception output to make it legible.
werner-duvaud/muzero-general
MuZero
jayinai/data-science-question-answer
A repo for data science related questions and answers
IgorSusmelj/pytorch-styleguide
An unofficial styleguide and best practices summary for PyTorch
neonwatty/machine-learning-refined
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
dhaitz/mplcyberpunk
"Cyberpunk style" for matplotlib plots
n2cholas/awesome-jax
JAX - A curated list of resources https://github.com/google/jax
Sroy20/machine-learning-interview-questions
This repository is to prepare for Machine Learning interviews.
jwkvam/celluloid
:movie_camera: Matplotlib animations made easy
jayinai/ml-interview
Preparing for machine learning interviews
google-research/meta-dataset
A dataset of datasets for learning to learn from few examples
emilwallner/How-to-learn-Deep-Learning
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
eriklindernoren/NapkinML
A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
imbue-ai/self_supervised
A Pytorch-Lightning implementation of self-supervised algorithms
Machine-Learning-Tokyo/Math_resources
dhaitz/matplotlib-stylesheets
Stylesheets for Matplotlib
Machine-Learning-Tokyo/__init__