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ce7454_2018

Deep learning course CE7454, 2018

cs229_notes

All of the lecture notes from CS229: Machine Learning

darknet

Convolutional Neural Networks

deep-learning-for-tracking-and-detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

deep-sort

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deep_sort_pytorch

MOT tracking using deepsort and yolov3 with pytorch

deepinf

deeplearningexamples

Deep Learning Examples

deepmot

Official implementation of DeepMOT: A Differentiable Framework for Training Multiple Object Trackers.

designpatterns

dfq

PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

dl_topics

List of DL Topics and resources essential for cracking interviews

dmpr

Data mining project report

generic-ecommerce-site

Ecommerce website using polyglot persistence (MongoDB, Neo4j)

graph-neural-networks

Graph Neural Networks for Quantum Chemistry

hackathon-skillenza

Heuristic-based branch and bound solution for route optimization for sales vehicle.

k8s

Deploying post-training quantized mobinenetv2 on Googke Kubernetes Engine using flask, gunicorn

kaggle_competition

learntorank

libtorch_load

midhilesh29.github.io

Build a Jekyll blog in minutes, without touching the command line.

ml_works

Machine Learning works

model-deployment

Docker compose for Nginx and gunicorn+flask to deploy quantized mobilenet v2 model

model-optimization

Quantization and pruning methods for model optimization during inference

model_deployment

monkai_notebooks

Document Layout detection

optical-character-recogntion

Optical Character Recognition using Convolutional Neural Network

optimization-technique

Feature selection using Genetic algorithm for house price predicting

posttrainingquantization

compares different pretrained object classification with per-layer and per-channel quantization using pytorch