anoopyear2020's repositories
deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
Export-Paper-Model-from-Blender
Python addon for creating paper models in Blender (development version)
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
vision-based-robotic-grasping
Related papers and codes for vision-based robotic grasping
automagica
Open Source RPA 🤖 Robotic Process Automation
DeepPavlov
An open source library for deep learning end-to-end dialog systems and chatbots.
lexpredict-lexnlp
LexNLP by LexPredict
docx
Easily generate .docx files with JS/TS with a nice declarative API. Works for Node and on the Browser.
pdf-lib
Create and modify PDF documents in any JavaScript environment
deep_sort_pytorch
MOT tracking using deepsort and yolov3 with pytorch
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
jetbot
An educational AI robot based on NVIDIA Jetson Nano.
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
awesome-business-intelligence
Actively curated list of awesome BI tools. PRs welcome!
robotics-coursework
🤖 Places where you can learn robotics (and stuff like that) online 🤖
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
ocrodeg
document image degradation
SPADE
Semantic Image Synthesis with SPADE
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
Deep-Learning-For-Hackers
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
spark-nlp
State of the Art Natural Language Processing
tracking_wo_bnw
Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"
Towards-Realtime-MOT
Joint Detection and Embedding for fast multi-object tracking