Learning Resources for DevOps, SRE, Cloud & Engineering Management
A curated list of awesome awesomeness about artificial intelligence(AI).
- Artificial Intelligence(AI)
- Machine Learning(ML)
- Deep Learning(DL)
- Computer Vision(CV)
- Natural Language Processing(NLP)
- Speech Recognition
- Other Research Topics
- Programming Languages
- Framework
- Datasets
- ML
- ML-Source-Code
- ML-CN
- Adversarial-ML
- Quantum-ML
- 3D-Machine-Learning
- Machine Learning Interpretability
- Machine Learning System
- Mobile Machine Learning
- Machine Learning Problems
- Gradient Boosting
- Decision Tree
- DL
- DL-Papers
- DL-Resources
- DeepLearning-500-questions
- Deep-Learning-in-Production
- DNN Compression and Acceleration
- Architecture Search
- Deep Learning for Graphs
- Real-time Network
- Deep Learning Interpretability
- CV
- CV2
- CV-People
- DeepFakes
- Event-based Vision Resources
- Research Topics
- Action Recognition
- Colorization
- Image Classification
- Image Registration
- Object Detection
- Video Object Detection
- Face
- Gaze Estimation
- Image Segmentation
- Object Tracking
- Pose estimation
- Human Pose estimation
- Hand Pose estimation
- Human Motion
- Scene Text
- Super Resolution
- 3D
- OCR
- Re-ID
- Pedestrian Attribute Recognition
- Image Captioning
- Question Answering
- Crowd Counting
- Lane Detection
- Low Lignt Enhancement
- Image Retrieval
- Medical Imaging
- Image Inpainting
- Image Dehazing
- Image Denoising
- Image Deraining
- Image/Video Deblurring
- Image to Image(img2img)
- Video Analysis
- Video Object Segmentation(VOS)
- Edge Detection
- Local and Global Descriptor
- Salience
- Fashion + AI
- Event-based Vision Resources
- NLP
- NLP-progress
- CoreNLP
- NLPIR
- nlp_course
- nlp-datasets
- nlp-reading-group
- Awesome-Chinese-NLP: 中文自然语言处理相关资料
- awesome-dl4nlp
- awesome-sentence-embedding
- Bayesian
- Capsule Networks
- Data Augmentation
- GAN
- really-awesome-gan
- AdversarialNetsPapers
- the-gan-zoo
- Keras-GAN
- gans-awesome-applications: Curated list of awesome GAN applications and demo
- SLAM
- Graph Neural Networks(GNN)
- Reinforcement Learning
- Transfer Learning
- Trajectory Prediction
- Zero-Shot Learning
- Few-Shot Learning
- Federated Learning
- Meta-Learning
- Self-Supervised
- Graph Classification
- Incremental Learning
- AutoML
- Model Compression
- Binary Neural Networks
- Multimodal Research
- Multimodal Machine Learning
- Domain Adaptation
- Robotics
- Recommender Systems
- Autonomous Vehicles
- Anomaly Detection
- Point Cloud Analysis
- 3D Point Clouds
- Affective_Computing
- Knowledge Distillation
- Click-Through Rate Prediction
- VAE
BINPIPE aims to simplify learning for those who are looking to make a foothold in the industry. Write to me at learn@binpipe.org if you are looking for tailor-made training sessions. For self-study resources look around in this repository, the Binpipe Blog and Youtube Channel.
📒 Maintainer: Prasanjit Singh | www.binpipe.org