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- Tednet: a Pytorch Toolkit for Tensor Decomposition Networks
- Interoperating Deep Learning Models with ONNX.Jl
- Essential Excerpts
- Deep-Q Learning with Self-Driving Car
- How Pytorch Optimizes Deep Learning Computations
- Introduction to Pytorch Outline
- Arxiv:2103.05247V2 [Cs.LG] 30 Jun 2021 13 Test Accuracy 12 9 12
- Tensorflow and Pytorch
- EECS 442 Computer Vision Justin Johnson & David Fouhey Winter 2021
- Choosing a Deep Learning Library
- An Empirical Study of the Dependency Networks of Deep Learning Libraries
- Using Python for Model Inference in Deep Learning
- Symbolic Techniques for Deep Learning: Challenges and Opportunities Abstract
- "Deep Faking" Political Twitter Using Transfer Learning and GPT-2
- BAGUA: Scaling up Distributed Learning with System Relaxations
- Deepfake” Harith Khawaja and Christopher Koopman
- Combining Eager Execution with Domain-Specific Compilers
- Tensorflow, Pytorch, Keras, and Horovod Huihuo Zheng Data Science Group [email protected]
- Paper, If Not Stated Otherwise, the Values Are Given for the Following Set of Parameters: P = W = 64, H = 16, I = P ⋅ H = 1024, B = 8, J = K = 512
- A Video Is Worth More Than 1000 Lies. Comparing 3DCNN Approaches for Detecting Deepfakes Yaohui Wang, Antitza Dantcheva
- Autonomous Vehicle Fuel Economy Optimization with Deep Reinforcement Learning
- How Deep Is Your Math
- Deepfakes Generation Using LSTM Based Generative Adversarial Networks
- Do Massively Pretrained Language Models Make Better Storytellers?
- Jeddah August 5Th, 2021
- Training Large DNN Models on Commodity Servers for the Masses
- Pytorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
- Front-End Supports in Flexflow: Python, Tensorflow Keras, Pytorch, ONNX Wei Wu and Mandeep Baines Overview of Flexflow’S Structure
- Learning Transferable Visual Models from Natural Language Supervision
- Leveraging Pre-Trained Checkpoints for Sequence Generation Tasks
- Deepfakenet, an Efficient Deepfake Detection Method
- On Machine Learning and Programming Languages
- Fighting Deepfakes Using Body Language Analysis
- Introduction to Pytorch
- Scaling Deep Learning Applications on Summit
- Introduction to Deep Learning with Pytorch
- Arxiv:2008.04175V1 [Cs.LG] 10 Aug 2020 Sieadaawl 06 Sdagahbsdapoc.Teu the Approach
- Machine Learning and Deep Learning Frameworks and Libraries for Large-Scale Data Mining: a Survey
- Pytorch: an Imperative Style, High-Performance Deep Learning Library
- Introduction to Deep Learning with Pytorch
- Control of Self-Driving Vehicles Using Deep Learning
- Fighting Deepfakes Using Body Language Analysis
- An Ensemble of Cnns for Deepfakes Detection
- Signature Redacted
- CS 6890: Deep Learning
- Best Practice Guide
- Deep Reinforcement Learning for Autonomous Driving: a Survey
- Benchmarking Data Parallel Distributed Training of Deep Learning
- A Comparative Measurement Study of Deep Learning As a Service Framework
- Scalable Ai Infrastructure Accelerates Autonomous Vehicle Development
- Pytorch Tutorial
- Software Libraries for Deep Learning
- Full Automotive Session List GTC 2021
- Darbs, Mācības, Izklaide Internetā: Mākslīga Intelekta Loma
- What Do Programmers Discuss About Deep Learning Frameworks
- Deep Learning for Deepfakes Creation and Detection: a Survey Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Cuong M
- Pytorch Distributed: Experiences on Accelerating Data Parallel Training
- Fastmoe: a Fast Mixture-Of-Expert Training System
- A Unified Architecture for Accelerating Distributed DNN Training In
- Model-Agnostic Meta-Learning Via Pre-Trained Parameters for Natural Language Generation
- Distributed Deep Learning
- Deep Learning Stack at NERSC