Martine's repositories
ml-demo-fastapi-k8s
The project is a machine learning (ML) deployment tutorial and MLOps practice. It deploys a video classification model trained on Kinetics-400 as a simple FastAPI app to Kubernetes with minikube.
video-ml-training
This repository serves as an example training pipeline for ML projects. It implements the computer vision task of video classification training on K400-Tiny (a sample subset of Kinetics-400).
3D-ResNets-PyTorch-TimeCycle
Video classification project using 3DCNNs and multiple self-supervised pretraining tasks (June, 2018).
Deep-Learning
Deep Learning methods using MLPs, CNNs and Backpropagation, RNNs, and Deep Generative Models (November, 2019).
KRR-course
Projects on symbolic systems, covering logic and problem solving (June 2020).
Visual-Representation-Learning-Tutorials
Project materials for teaching bachelor students about fundamentals on Deep learning, PyTorch, ConvNets & Autoencoder (January, 2021).
CLIP
Contrastive Language-Image Pretraining
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
detectron2
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
DQN_Divergence
Reinforcement Learning Project studying the divergence of Deep Q-Learning Networks.
Machine-Learning-1
Machine Learning Projects on Linear Regression, Classification and Multi-layer Perceptrons, and Gaussian Processes and SVMs (October, 2019).
Embetter
FACT-AI (Fairness, Accountability, Confidentiality, and Transparency in AI) Project on Debiasing word embeddings
fastbook
The fastai book, published as Jupyter Notebooks
FoodTrucks
:truck: San Francisco's finger-licking street food now at your fingertips.
involution
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
leetcode
All Python solutions for Leetcode
Machine-Learning-2
Projects from the Machine learning 2 Course on ICA, Inference in Graphical models, EM algorithm and VAE (October, 2020).
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.
Probability-Theory-For-ML
Probability Theory for Machine Learning, including probability fundamentals, distributions and Bayesian inference (October, 2018).
python-mastery
Advanced Python Mastery (course by @dabeaz)
PythonOOP
The Original Code repository for my Python OOP Series
pytorch-tutorials
PyTorch tutorials.
Reinforcement-Learning
Reinforcement Learning Projects on Dynamic Programming, Monte Carlo and Deep Q-Networks (October, 2020).
shannon-switching-game
Implementation of Shannon switching game, a two-player connection game on an undirected graph.
SimilArt
Information visualization project on SimilArt, a platform for exploring and comparing artworks.
SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
swav
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
vnncomp2021
VNN Neural Network Verification Competition 2021