Pinned Repositories
las
LAS (Live Adaptive Streaming), an adaptive bitrate streaming technique that enables high quality and low-latency live streaming of media content over HTTP, WebRTC, and so on.
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
las
LAS (Live Adaptive Streaming), an adaptive bitrate streaming technique that enables high quality and low-latency live streaming of media content over HTTP, WebRTC, and so on. Rather than MPEG-DASH or HLS, breaking the content into a sequence of small file fragments and transmitting in fragment-level, LAS transmits the media content in frame-level to provide low-latency. Besides, based on stream, LAS only needs to send new requests when the bitrate-level (quality-level) has changed, thus, it needs less requests than fragment-based adaptive bitrate streaming technique. LAS has been widely supported by cloud vendors, such as Alibaba-Cloud, Baidu, Tencent Cloud, CDNetCenter, Kingsoft Cloud etc. Besides, it also has been deployed by Kuaishou, and used by more than one 100, 000, 000 users every day.
personal
Used for recording and organizing some personal materials.
pytorch-generative-adversarial-networks
A very simple generative adversarial network (GAN) in PyTorch
zhouchaopku's Repositories
zhouchaopku/las
LAS (Live Adaptive Streaming), an adaptive bitrate streaming technique that enables high quality and low-latency live streaming of media content over HTTP, WebRTC, and so on. Rather than MPEG-DASH or HLS, breaking the content into a sequence of small file fragments and transmitting in fragment-level, LAS transmits the media content in frame-level to provide low-latency. Besides, based on stream, LAS only needs to send new requests when the bitrate-level (quality-level) has changed, thus, it needs less requests than fragment-based adaptive bitrate streaming technique. LAS has been widely supported by cloud vendors, such as Alibaba-Cloud, Baidu, Tencent Cloud, CDNetCenter, Kingsoft Cloud etc. Besides, it also has been deployed by Kuaishou, and used by more than one 100, 000, 000 users every day.
zhouchaopku/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
zhouchaopku/personal
Used for recording and organizing some personal materials.
zhouchaopku/pytorch-generative-adversarial-networks
A very simple generative adversarial network (GAN) in PyTorch