AnkitRai

Ph.D. Informatics (UIUC) Machine Learning and Computer Vision

University of Illinois at Urbana ChampaignUrbana, IL

Pinned Repositories

alta
The Art of Literary Text Analysis
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ankitrai.github.io
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arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
Language:Python0 1 00
awesome-computer-vision
A curated list of awesome computer vision resources
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Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
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awesome-deep-vision
A curated list of deep learning resources for computer vision
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awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Language:Python0 2 00
google-interview-university
A complete daily plan for studying to become a Google software engineer.
1 2 00
Social-Media-Analysis-GI
Performing brand awareness and opinion mining for GI using social media
Language:Python3 2 02
tree_species_recognition
Recognizing tree species using convolutional neural network
Language:Python6 3 02

AnkitRai's Repositories

AnkitRai/tree_species_recognition
Recognizing tree species using convolutional neural network
Language:Python6 3 02
AnkitRai/ankitrai.github.io
Language:CSS1 2 00
AnkitRai/arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
Language:Python0 1 00
AnkitRai/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
1 0
AnkitRai/caffe
Caffe: a fast open framework for deep learning.
AnkitRai/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
1
AnkitRai/continuous-integration-travis
AnkitRai/cortex
Deploy machine learning models in production
AnkitRai/cumf_als
CUDA Matrix Factorization Library with Alternating Least Square (ALS)
Language:Cuda1 0
AnkitRai/deeplab_v3
Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN
Language:Jupyter Notebook1 0
AnkitRai/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
AnkitRai/DeepLens-workshops
Language:Jupyter Notebook
AnkitRai/dvc
🦉Data Version Control | Git for Data & Models
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AnkitRai/fastai
The fastai deep learning library, plus lessons and and tutorials
Language:Jupyter Notebook
AnkitRai/keras-deeplab-v3-plus
Keras implementation of Deeplab v3+ with pretrained weights
AnkitRai/keras-retinanet
Keras implementation of RetinaNet object detection.
Language:Python
AnkitRai/keras-retinanet-test-data
Test data for keras-retinanet.
AnkitRai/loss-landscape
Code for visualizing the loss landscape of neural nets
AnkitRai/mlflow
Open source platform for the complete machine learning lifecycle
Language:Python
AnkitRai/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
AnkitRai/onnx
Open standard for machine learning interoperability
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AnkitRai/openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Language:C++1 0
AnkitRai/pycuda
CUDA integration for Python, plus shiny features
AnkitRai/Recommenders
Recommender Systems
Language:Jupyter Notebook
AnkitRai/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
AnkitRai/tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
AnkitRai/training
Reference implementations of training benchmarks
Language:Jupyter Notebook1 0
AnkitRai/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
Language:Python1 0
AnkitRai/tree_species_identification
Language:Python2 01
AnkitRai/VoTT
Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.