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2-d-kalman-filter

2-D Kalman Filter for Tracking a randomly moving object

advance-bayesian-modelling-with-pymc3

annotation-converters

This Repo covers all formats of annotations for Object Detection and can easily convert from one form to another using attached scripts

attention-transfer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesianmnist

A hello world Bayesian Neural Network project on MNIST

bechdel_test

Bechdel_test implementation

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

causalml

Uplift modeling and causal inference with machine learning algorithms

chatbot-transformer

Building a Chatbot in PyTorch using Transformers

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

cornellcswiki

Student-run wiki for students interested in computer science at Cornell University

cs231n

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

cs231n.github.io

Public facing notes page

csxx_1_astar

CSxx_1_ASTAR implementation

csxx_2-minimax

MiniMax algorithm implementation for Nine men's morris

csxx_2_mnist_deepnnfromscratch

CSxx_MNIST_DeepNN .Computer layers from scrach, including forward and back propagation.

csxx_3_pddl1

CSxx_3_PDDL1 agent search implementation

csxx_bigdata-project_submission

CSxx_BigData-Project_Submission_Breast_Cancer Kaggle Dataset

csxx_nlp_classification_deep_learning

CSxx_NLP_Multi_Classification_Deep_Learning

csxx_pddl_temporal

CSxx_PDDL_Temporal agent solution

csxx_spotify_kaggle_deeplearning

CSxx_Spotify_Kaggle_DeepLearning competition submission

cxx_genetic_algorithms-r

Collation of Genetic Algorirthm Projects

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep-learning-computer-vision

My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

deep_learning_tutorials

deep learning: theory + practice

dekr

This is an official implementation of our CVPR 2021 paper "Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression" (https://arxiv.org/abs/2104.02300)

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn