Siraj Qazi's repositories
csteganograph
CLI tool to embed messages into PGM images and decoding them
BNN-PYNQ
Quantized Neural Networks (QNNs) on PYNQ using Dataflow Architecture
fast-queue
A fast C++14 implementation of a (templatized) circular queue container.
image-transform
Command-line PNG Image Editor in C++11, with grayscaling, illinifying, spot light creation and watermarking support.
adv-programming-knapsack
My solution to a course assignment of CSCI851 Advanced Programming (in C++)
botfront
Enterprise-grade open source GUI platform for Rasa teams
chainSim
A supply chain simulator
cs100-p3-flipped
C Programming Project 3 of a CS 100 Computer Science I For Majors course.
cs100-p4-schwifty
C Programming Project 4 of CS 100 Computer Science I For Majors course.
cuda-api-wrappers
Thin, unified, C++-flavored wrappers for the CUDA APIs
darknet
Convolutional Neural Networks
dataframe
A very basic implementation of a heterogenous tabular data structure in C++, similar to Pandas' DataFrame
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
ElegantRL
Cloud-native deep reinforcement learning. 🔥
EmergencyNet
A small deep learning model based on atrous convolutional feature fusion for the application of emergency response.
GitHubGraduation-2021
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
hacker-laws
💻📖 Laws, Theories, Principles and Patterns that developers will find useful. #hackerlaws
imutils
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
messing-with-exceptions
Demonstration of exceptions propagation in C++. From Microsoft's Advanced C++ course on edX
mit-15-003-data-science-tools
Study guides for MIT's 15.003 Data Science Tools
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
pytorch_segmentation
Semantic segmentation models, datasets and losses implemented in PyTorch.
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
sample-factory
High throughput asynchronous reinforcement learning
tensorrt_demos
TensorRT YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet